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Robust head CT image registration pipeline for craniosynostosis skull correction surgery
Shusil Dangi1, Hina Shah2, Antonio R Porras3
1Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA.
Healthcare Technology Letters
|November 30, 2017
Summary
A new registration pipeline accurately maps infant skull CT scans to normal atlases. This method aids in quantifying craniosynostosis deformation for optimal surgical planning.
Area of Science:
- Medical imaging
- Computational anatomy
- Pediatric surgery
Background:
- Craniosynostosis is a congenital infant skull malformation requiring surgical correction.
- Accurate patient-specific skull models are essential for surgical planning.
- Registration to normal atlases aids in quantifying deformation.
Purpose of the Study:
- To develop a robust multi-stage, multi-resolution registration pipeline.
- To map patient-specific computed tomography (CT) images to a normal head CT atlas.
- To accurately quantify skull deformation in craniosynostosis patients.
Main Methods:
- A multi-stage, multi-resolution registration pipeline was developed.
- Initial optimization at low resolution followed by high-resolution refinement.
- Evaluation on 560 head CT images (320 normal, 240 patients).
Main Results:
- Achieved high success rates: 92.8% for normal subjects and 94.2% for patients.
- Demonstrated robustness across a large dataset.
- Mean surface-to-surface distance < 2.5 mm in the targeted skull region.
Conclusions:
- The proposed registration pipeline is robust and accurate for craniosynostosis assessment.
- Enables precise quantification of skull deformation.
- Facilitates optimal surgical correction strategies for infant skull malformations.
Keywords:
biomechanicsbonecomputerised tomographycongenital malformationcorrective surgerycraniosynostosis skull correction surgerydeformationimage registrationimage resolutioninfant skullinitial optimisationmean surface-to-surface distancemedical image processingnormal CT imagesoptimal correction strategyoptimisationpatient-specific skull model extractionpatient-specihc CT imagepresurgical computed tomography imagerobust head CT image registration pipelinerobust multistage multiresolution registration pipelinesurgerytargeted skull regiontemplate skullvery low resolution
